Overview

Dataset statistics

 TenantsHomes
Number of variables3333
Number of observations1348222727
Missing cells14446056216
Missing cells (%)32.5%7.5%
Duplicate rows273238
Duplicate rows (%)2.0%1.0%
Total size in memory1.4 MiB2.3 MiB
Average record size in memory106.0 B106.0 B

Variable types

 TenantsHomes
Numeric55
DateTime22
Boolean1919
Unsupported77

Alerts

TenantsHomes
shared has constant value "" Alert not present in this datasetConstant
Dataset has 273 (2.0%) duplicate rows Dataset has 238 (1.0%) duplicate rowsDuplicates
end_ufn is highly imbalanced (70.7%) end_ufn is highly imbalanced (58.8%) Imbalance
senior_home is highly imbalanced (66.7%) Alert not present in this datasetImbalance
furniture is highly imbalanced (70.9%) Alert not present in this datasetImbalance
wheelchair_accessible is highly imbalanced (67.9%) Alert not present in this datasetImbalance
smoker is highly imbalanced (90.4%) smoker is highly imbalanced (77.2%) Imbalance
recycling is highly imbalanced (65.2%) Alert not present in this datasetImbalance
tumble_dryer is highly imbalanced (88.2%) Alert not present in this datasetImbalance
bathtub is highly imbalanced (86.0%) Alert not present in this datasetImbalance
start_optimal has 7785 (57.7%) missing values start_optimal has 12420 (54.6%) missing values Missing
end_optimal has 12787 (94.8%) missing values end_optimal has 20847 (91.7%) missing values Missing
ideal_duration has 13047 (96.8%) missing values ideal_duration has 21505 (94.6%) missing values Missing
shared has 2525 (18.7%) missing values Alert not present in this datasetMissing
corporate_home has 13482 (100.0%) missing values Alert not present in this datasetMissing
dish_washer has 673 (5.0%) missing values Alert not present in this datasetMissing
furniture has 3706 (27.5%) missing values Alert not present in this datasetMissing
wheelchair_accessible has 1139 (8.4%) missing values Alert not present in this datasetMissing
internet has 13482 (100.0%) missing values Alert not present in this datasetMissing
pets has 1139 (8.4%) missing values Alert not present in this datasetMissing
shower has 13482 (100.0%) missing values Alert not present in this datasetMissing
smoker has 1139 (8.4%) missing values Alert not present in this datasetMissing
washing_machine has 673 (5.0%) missing values Alert not present in this datasetMissing
toilet has 13482 (100.0%) missing values Alert not present in this datasetMissing
balcony has 673 (5.0%) missing values Alert not present in this datasetMissing
elevator has 13482 (100.0%) missing values Alert not present in this datasetMissing
recycling has 673 (5.0%) missing values Alert not present in this datasetMissing
tumble_dryer has 673 (5.0%) missing values Alert not present in this datasetMissing
shared_washing_area has 13482 (100.0%) missing values Alert not present in this datasetMissing
bathtub has 673 (5.0%) missing values Alert not present in this datasetMissing
inhome_sauna has 673 (5.0%) missing values Alert not present in this datasetMissing
bike_room has 673 (5.0%) missing values Alert not present in this datasetMissing
parking has 673 (5.0%) missing values Alert not present in this datasetMissing
storage has 673 (5.0%) missing values Alert not present in this datasetMissing
firsthand has 13482 (100.0%) missing values Alert not present in this datasetMissing
corporate_home is an unsupported type, check if it needs cleaning or further analysis corporate_home is an unsupported type, check if it needs cleaning or further analysis Unsupported
internet is an unsupported type, check if it needs cleaning or further analysis internet is an unsupported type, check if it needs cleaning or further analysis Unsupported
shower is an unsupported type, check if it needs cleaning or further analysis shower is an unsupported type, check if it needs cleaning or further analysis Unsupported
toilet is an unsupported type, check if it needs cleaning or further analysis toilet is an unsupported type, check if it needs cleaning or further analysis Unsupported
elevator is an unsupported type, check if it needs cleaning or further analysis elevator is an unsupported type, check if it needs cleaning or further analysis Unsupported
shared_washing_area is an unsupported type, check if it needs cleaning or further analysis shared_washing_area is an unsupported type, check if it needs cleaning or further analysis Unsupported
firsthand is an unsupported type, check if it needs cleaning or further analysis firsthand is an unsupported type, check if it needs cleaning or further analysis Unsupported
Alert not present in this datasetstudent_home has constant value "" Constant
Alert not present in this datasetsenior_home has constant value "" Constant
Alert not present in this datasetshared is highly imbalanced (80.0%) Imbalance
Alert not present in this datasetparking is highly imbalanced (74.5%) Imbalance

Reproduction

 TenantsHomes
Analysis started2024-02-14 09:23:22.1274112024-02-14 09:23:23.820362
Analysis finished2024-02-14 09:23:23.8192452024-02-14 09:23:25.330751
Duration1.69 second1.51 second
Software versionydata-profiling vv4.6.4ydata-profiling vv4.6.4
Download configurationconfig.jsonconfig.json

Variables

rent
Real number (ℝ)

 TenantsHomes
Distinct266660
Distinct (%)2.0%2.9%
Missing590
Missing (%)0.4%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean772.86933667.23061
 TenantsHomes
Minimum11
Maximum35003000
Zeros00
Zeros (%)0.0%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size105.5 KiB177.7 KiB
2024-02-14T10:23:25.387170image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

 TenantsHomes
Minimum11
5-th percentile460360
Q1600500
median700620
Q3900770
95-th percentile13001150
Maximum35003000
Range34992999
Interquartile range (IQR)300270

Descriptive statistics

 TenantsHomes
Standard deviation280.69815265.44679
Coefficient of variation (CV)0.363189670.39783365
Kurtosis9.059818610.407736
Mean772.86933667.23061
Median Absolute Deviation (MAD)130130
Skewness2.04431882.2511592
Sum1037422515164150
Variance78791.45370461.997
MonotonicityNot monotonicNot monotonic
2024-02-14T10:23:25.456794image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 1414
 
10.5%
700 1212
 
9.0%
800 1045
 
7.8%
650 929
 
6.9%
1000 809
 
6.0%
900 769
 
5.7%
750 704
 
5.2%
550 700
 
5.2%
500 642
 
4.8%
850 523
 
3.9%
Other values (256) 4676
34.7%
ValueCountFrequency (%)
650 838
 
3.7%
550 764
 
3.4%
600 710
 
3.1%
750 606
 
2.7%
500 597
 
2.6%
700 576
 
2.5%
450 520
 
2.3%
850 461
 
2.0%
800 455
 
2.0%
590 451
 
2.0%
Other values (650) 16749
73.7%
ValueCountFrequency (%)
1 18
0.1%
3 1
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
30 2
 
< 0.1%
40 1
 
< 0.1%
50 2
 
< 0.1%
60 1
 
< 0.1%
70 1
 
< 0.1%
80 2
 
< 0.1%
ValueCountFrequency (%)
1 28
0.1%
3 1
 
< 0.1%
4 3
 
< 0.1%
5 7
 
< 0.1%
6 9
 
< 0.1%
7 5
 
< 0.1%
8 2
 
< 0.1%
9 1
 
< 0.1%
40 1
 
< 0.1%
89 1
 
< 0.1%
ValueCountFrequency (%)
1 28
0.2%
3 1
 
< 0.1%
4 3
 
< 0.1%
5 7
 
0.1%
6 9
 
0.1%
7 5
 
< 0.1%
8 2
 
< 0.1%
9 1
 
< 0.1%
40 1
 
< 0.1%
89 1
 
< 0.1%
ValueCountFrequency (%)
1 18
0.1%
3 1
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
30 2
 
< 0.1%
40 1
 
< 0.1%
50 2
 
< 0.1%
60 1
 
< 0.1%
70 1
 
< 0.1%
80 2
 
< 0.1%

room_count
Real number (ℝ)

 TenantsHomes
Distinct710
Distinct (%)0.1%< 0.1%
Missing10
Missing (%)< 0.1%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean1.87374822.1067893
 TenantsHomes
Minimum11
Maximum710
Zeros00
Zeros (%)0.0%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size105.5 KiB177.7 KiB
2024-02-14T10:23:25.506541image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

 TenantsHomes
Minimum11
5-th percentile11
Q111
median22
Q323
95-th percentile44
Maximum710
Range69
Interquartile range (IQR)12

Descriptive statistics

 TenantsHomes
Standard deviation0.913674531.0903847
Coefficient of variation (CV)0.487618620.51755754
Kurtosis0.347638513.4153182
Mean1.87374822.1067893
Median Absolute Deviation (MAD)11
Skewness0.881436141.4381498
Sum2526047881
Variance0.834801151.1889388
MonotonicityNot monotonicNot monotonic
2024-02-14T10:23:25.546817image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 5637
41.8%
2 4740
35.2%
3 2378
17.6%
4 631
 
4.7%
5 87
 
0.6%
6 6
 
< 0.1%
7 2
 
< 0.1%
(Missing) 1
 
< 0.1%
ValueCountFrequency (%)
2 9678
42.6%
1 7086
31.2%
3 3573
 
15.7%
4 1627
 
7.2%
5 517
 
2.3%
6 154
 
0.7%
7 50
 
0.2%
8 31
 
0.1%
10 6
 
< 0.1%
9 5
 
< 0.1%
ValueCountFrequency (%)
1 5637
41.8%
2 4740
35.2%
3 2378
17.6%
4 631
 
4.7%
5 87
 
0.6%
6 6
 
< 0.1%
7 2
 
< 0.1%
ValueCountFrequency (%)
1 7086
31.2%
2 9678
42.6%
3 3573
 
15.7%
4 1627
 
7.2%
5 517
 
2.3%
6 154
 
0.7%
7 50
 
0.2%
8 31
 
0.1%
9 5
 
< 0.1%
10 6
 
< 0.1%
ValueCountFrequency (%)
1 7086
52.6%
2 9678
71.8%
3 3573
 
26.5%
4 1627
 
12.1%
5 517
 
3.8%
6 154
 
1.1%
7 50
 
0.4%
8 31
 
0.2%
9 5
 
< 0.1%
10 6
 
< 0.1%
ValueCountFrequency (%)
1 5637
24.8%
2 4740
20.9%
3 2378
10.5%
4 631
 
2.8%
5 87
 
0.4%
6 6
 
< 0.1%
7 2
 
< 0.1%

square_meters
Real number (ℝ)

 TenantsHomes
Distinct111228
Distinct (%)0.8%1.0%
Missing280
Missing (%)0.2%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean43.734853.70282
 TenantsHomes
Minimum11
Maximum200300
Zeros00
Zeros (%)0.0%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size105.5 KiB177.7 KiB
2024-02-14T10:23:25.601361image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

 TenantsHomes
Minimum11
5-th percentile2024
Q12833
median4048
Q35564
95-th percentile80109
Maximum200300
Range199299
Interquartile range (IQR)2731

Descriptive statistics

 TenantsHomes
Standard deviation21.34741229.218454
Coefficient of variation (CV)0.488110440.54407672
Kurtosis3.00694988.8665843
Mean43.734853.70282
Median Absolute Deviation (MAD)1315
Skewness1.14926252.2316671
Sum5884081220504
Variance455.71202853.71807
MonotonicityNot monotonicNot monotonic
2024-02-14T10:23:25.667280image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 1372
 
10.2%
50 1259
 
9.3%
40 1205
 
8.9%
25 928
 
6.9%
60 899
 
6.7%
20 845
 
6.3%
45 728
 
5.4%
35 709
 
5.3%
70 629
 
4.7%
80 386
 
2.9%
Other values (101) 4494
33.3%
ValueCountFrequency (%)
30 784
 
3.4%
32 681
 
3.0%
60 634
 
2.8%
50 598
 
2.6%
35 578
 
2.5%
31 531
 
2.3%
45 527
 
2.3%
34 516
 
2.3%
28 485
 
2.1%
33 482
 
2.1%
Other values (218) 16911
74.4%
ValueCountFrequency (%)
1 70
0.5%
2 4
 
< 0.1%
3 4
 
< 0.1%
4 1
 
< 0.1%
5 14
 
0.1%
6 4
 
< 0.1%
7 8
 
0.1%
8 25
 
0.2%
9 20
 
0.1%
10 154
1.1%
ValueCountFrequency (%)
1 29
0.1%
2 4
 
< 0.1%
3 4
 
< 0.1%
4 4
 
< 0.1%
5 5
 
< 0.1%
6 4
 
< 0.1%
7 3
 
< 0.1%
8 2
 
< 0.1%
9 9
 
< 0.1%
10 39
0.2%
ValueCountFrequency (%)
1 29
0.2%
2 4
 
< 0.1%
3 4
 
< 0.1%
4 4
 
< 0.1%
5 5
 
< 0.1%
6 4
 
< 0.1%
7 3
 
< 0.1%
8 2
 
< 0.1%
9 9
 
0.1%
10 39
0.3%
ValueCountFrequency (%)
1 70
0.3%
2 4
 
< 0.1%
3 4
 
< 0.1%
4 1
 
< 0.1%
5 14
 
0.1%
6 4
 
< 0.1%
7 8
 
< 0.1%
8 25
 
0.1%
9 20
 
0.1%
10 154
0.7%

tenant_count
Real number (ℝ)

 TenantsHomes
Distinct715
Distinct (%)0.1%0.1%
Missing10
Missing (%)< 0.1%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean1.75573032.4413693
 TenantsHomes
Minimum11
Maximum730
Zeros00
Zeros (%)0.0%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size105.5 KiB177.7 KiB
2024-02-14T10:23:25.725281image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

 TenantsHomes
Minimum11
5-th percentile11
Q111
median12
Q323
95-th percentile45
Maximum730
Range629
Interquartile range (IQR)12

Descriptive statistics

 TenantsHomes
Standard deviation1.09322911.4228313
Coefficient of variation (CV)0.622663460.58280051
Kurtosis3.828522723.226137
Mean1.75573032.4413693
Median Absolute Deviation (MAD)01
Skewness1.85301092.4352767
Sum2366955485
Variance1.19514982.0244489
MonotonicityNot monotonicNot monotonic
2024-02-14T10:23:25.766975image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 7401
54.9%
2 3738
27.7%
3 1227
 
9.1%
4 689
 
5.1%
5 262
 
1.9%
6 103
 
0.8%
7 61
 
0.5%
(Missing) 1
 
< 0.1%
ValueCountFrequency (%)
2 9120
40.1%
1 5717
25.2%
3 3178
 
14.0%
4 2937
 
12.9%
5 1013
 
4.5%
6 529
 
2.3%
8 93
 
0.4%
7 73
 
0.3%
10 47
 
0.2%
9 9
 
< 0.1%
Other values (5) 11
 
< 0.1%
ValueCountFrequency (%)
1 7401
54.9%
2 3738
27.7%
3 1227
 
9.1%
4 689
 
5.1%
5 262
 
1.9%
6 103
 
0.8%
7 61
 
0.5%
ValueCountFrequency (%)
1 5717
25.2%
2 9120
40.1%
3 3178
 
14.0%
4 2937
 
12.9%
5 1013
 
4.5%
6 529
 
2.3%
7 73
 
0.3%
8 93
 
0.4%
9 9
 
< 0.1%
10 47
 
0.2%
ValueCountFrequency (%)
1 5717
42.4%
2 9120
67.6%
3 3178
 
23.6%
4 2937
 
21.8%
5 1013
 
7.5%
6 529
 
3.9%
7 73
 
0.5%
8 93
 
0.7%
9 9
 
0.1%
10 47
 
0.3%
ValueCountFrequency (%)
1 7401
32.6%
2 3738
16.4%
3 1227
 
5.4%
4 689
 
3.0%
5 262
 
1.2%
6 103
 
0.5%
7 61
 
0.3%

start_optimal
Date

 TenantsHomes
Distinct306333
Distinct (%)5.4%3.2%
Missing778512420
Missing (%)57.7%54.6%
Memory size105.5 KiB177.7 KiB
 TenantsHomes
Minimum2023-01-28 00:00:002021-06-16 00:00:00
Maximum2025-03-01 00:00:002025-11-23 00:00:00
2024-02-14T10:23:25.824414image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-14T10:23:25.961773image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

end_optimal
Date

 TenantsHomes
Distinct219244
Distinct (%)31.5%13.0%
Missing1278720847
Missing (%)94.8%91.7%
Memory size105.5 KiB177.7 KiB
 TenantsHomes
Minimum2023-01-13 00:00:002023-03-31 00:00:00
Maximum2028-01-01 00:00:002026-03-01 00:00:00
2024-02-14T10:23:26.029152image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-14T10:23:26.095533image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

start_asap
Boolean

 TenantsHomes
Distinct22
Distinct (%)< 0.1%< 0.1%
Missing00
Missing (%)0.0%0.0%
Memory size13.3 KiB22.3 KiB
True
7785 
False
5697 
True
12422 
False
10305 
ValueCountFrequency (%)
True 7785
57.7%
False 5697
42.3%
ValueCountFrequency (%)
True 12422
54.7%
False 10305
45.3%

Tenants

2024-02-14T10:23:26.146095image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:26.180070image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

end_ufn
Boolean

 TenantsHomes
Distinct22
Distinct (%)< 0.1%< 0.1%
Missing00
Missing (%)0.0%0.0%
Memory size13.3 KiB22.3 KiB
True
12787 
False
 
695
True
20847 
False
 
1880
ValueCountFrequency (%)
True 12787
94.8%
False 695
 
5.2%
ValueCountFrequency (%)
True 20847
91.7%
False 1880
 
8.3%

Tenants

2024-02-14T10:23:26.212687image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:26.240708image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

ideal_duration
Real number (ℝ)

 TenantsHomes
Distinct151224
Distinct (%)34.7%18.3%
Missing1304721505
Missing (%)96.8%94.6%
Infinite00
Infinite (%)0.0%0.0%
Mean130.08966206.33552
 TenantsHomes
Minimum13
Maximum1470731
Zeros00
Zeros (%)0.0%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size105.5 KiB177.7 KiB
2024-02-14T10:23:26.289323image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

 TenantsHomes
Minimum13
5-th percentile735.05
Q14692
median90181
Q3152364
95-th percentile366366
Maximum1470731
Range1469728
Interquartile range (IQR)106272

Descriptive statistics

 TenantsHomes
Standard deviation160.31883127.11459
Coefficient of variation (CV)1.23237190.61605772
Kurtosis27.533919-0.30606325
Mean130.08966206.33552
Median Absolute Deviation (MAD)5492.5
Skewness4.42082850.53506332
Sum56589252142
Variance25702.12816158.118
MonotonicityNot monotonicNot monotonic
2024-02-14T10:23:26.356488image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 18
 
0.1%
122 18
 
0.1%
91 17
 
0.1%
121 17
 
0.1%
90 15
 
0.1%
152 13
 
0.1%
30 12
 
0.1%
29 12
 
0.1%
151 12
 
0.1%
7 12
 
0.1%
Other values (141) 289
 
2.1%
(Missing) 13047
96.8%
ValueCountFrequency (%)
365 198
 
0.9%
91 50
 
0.2%
364 49
 
0.2%
122 47
 
0.2%
152 41
 
0.2%
366 39
 
0.2%
60 38
 
0.2%
213 33
 
0.1%
212 29
 
0.1%
151 29
 
0.1%
Other values (214) 669
 
2.9%
(Missing) 21505
94.6%
ValueCountFrequency (%)
1 4
 
< 0.1%
2 3
 
< 0.1%
3 3
 
< 0.1%
4 4
 
< 0.1%
5 3
 
< 0.1%
6 2
 
< 0.1%
7 12
0.1%
8 1
 
< 0.1%
10 1
 
< 0.1%
14 4
 
< 0.1%
ValueCountFrequency (%)
3 2
 
< 0.1%
6 1
 
< 0.1%
7 5
 
< 0.1%
8 1
 
< 0.1%
19 1
 
< 0.1%
21 2
 
< 0.1%
24 1
 
< 0.1%
28 1
 
< 0.1%
29 10
< 0.1%
30 20
0.1%
ValueCountFrequency (%)
3 2
 
< 0.1%
6 1
 
< 0.1%
7 5
 
< 0.1%
8 1
 
< 0.1%
19 1
 
< 0.1%
21 2
 
< 0.1%
24 1
 
< 0.1%
28 1
 
< 0.1%
29 10
0.1%
30 20
0.1%
ValueCountFrequency (%)
1 4
 
< 0.1%
2 3
 
< 0.1%
3 3
 
< 0.1%
4 4
 
< 0.1%
5 3
 
< 0.1%
6 2
 
< 0.1%
7 12
0.1%
8 1
 
< 0.1%
10 1
 
< 0.1%
14 4
 
< 0.1%

shared
Boolean

 TenantsHomes
Distinct12
Distinct (%)< 0.1%< 0.1%
Missing25250
Missing (%)18.7%0.0%
Memory size26.5 KiB44.5 KiB
False
10957 
(Missing)
2525 
False
22021 
True
 
706
ValueCountFrequency (%)
False 10957
81.3%
(Missing) 2525
 
18.7%
ValueCountFrequency (%)
False 22021
96.9%
True 706
 
3.1%

Tenants

2024-02-14T10:23:26.402140image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:26.428270image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

student_home
Boolean

 TenantsHomes
Distinct21
Distinct (%)< 0.1%< 0.1%
Missing00
Missing (%)0.0%0.0%
Memory size26.5 KiB44.5 KiB
False
10042 
True
3440 
False
22727 
ValueCountFrequency (%)
False 10042
74.5%
True 3440
 
25.5%
ValueCountFrequency (%)
False 22727
100.0%

Tenants

2024-02-14T10:23:26.457621image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:26.485315image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

senior_home
Boolean

 TenantsHomes
Distinct21
Distinct (%)< 0.1%< 0.1%
Missing00
Missing (%)0.0%0.0%
Memory size26.5 KiB44.5 KiB
False
12655 
True
 
827
False
22727 
ValueCountFrequency (%)
False 12655
93.9%
True 827
 
6.1%
ValueCountFrequency (%)
False 22727
100.0%

Tenants

2024-02-14T10:23:26.511471image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:26.538488image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

corporate_home
Unsupported

 TenantsHomes
Missing134820
Missing (%)100.0%0.0%
Memory size26.5 KiB44.5 KiB

dish_washer
Boolean

 TenantsHomes
Distinct22
Distinct (%)< 0.1%< 0.1%
Missing67376
Missing (%)5.0%0.3%
Memory size26.5 KiB44.5 KiB
False
7595 
True
5214 
(Missing)
 
673
True
17095 
False
5556 
(Missing)
 
76
ValueCountFrequency (%)
False 7595
56.3%
True 5214
38.7%
(Missing) 673
 
5.0%
ValueCountFrequency (%)
True 17095
75.2%
False 5556
 
24.4%
(Missing) 76
 
0.3%

Tenants

2024-02-14T10:23:26.565648image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:26.594871image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

furniture
Boolean

 TenantsHomes
Distinct22
Distinct (%)< 0.1%< 0.1%
Missing370676
Missing (%)27.5%0.3%
Memory size26.5 KiB44.5 KiB
False
9276 
True
 
500
(Missing)
3706 
False
13608 
True
9043 
(Missing)
 
76
ValueCountFrequency (%)
False 9276
68.8%
True 500
 
3.7%
(Missing) 3706
 
27.5%
ValueCountFrequency (%)
False 13608
59.9%
True 9043
39.8%
(Missing) 76
 
0.3%

Tenants

2024-02-14T10:23:26.622628image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:26.648448image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

wheelchair_accessible
Boolean

 TenantsHomes
Distinct22
Distinct (%)< 0.1%< 0.1%
Missing113976
Missing (%)8.4%0.3%
Memory size26.5 KiB44.5 KiB
False
11621 
True
 
722
(Missing)
 
1139
False
14029 
True
8622 
(Missing)
 
76
ValueCountFrequency (%)
False 11621
86.2%
True 722
 
5.4%
(Missing) 1139
 
8.4%
ValueCountFrequency (%)
False 14029
61.7%
True 8622
37.9%
(Missing) 76
 
0.3%

Tenants

2024-02-14T10:23:26.679273image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:26.706159image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

internet
Unsupported

 TenantsHomes
Missing1348276
Missing (%)100.0%0.3%
Memory size26.5 KiB44.5 KiB

pets
Boolean

 TenantsHomes
Distinct22
Distinct (%)< 0.1%< 0.1%
Missing113976
Missing (%)8.4%0.3%
Memory size26.5 KiB44.5 KiB
False
7709 
True
4634 
(Missing)
1139 
True
13377 
False
9274 
(Missing)
 
76
ValueCountFrequency (%)
False 7709
57.2%
True 4634
34.4%
(Missing) 1139
 
8.4%
ValueCountFrequency (%)
True 13377
58.9%
False 9274
40.8%
(Missing) 76
 
0.3%

Tenants

2024-02-14T10:23:26.736265image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:26.766309image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

shower
Unsupported

 TenantsHomes
Missing1348276
Missing (%)100.0%0.3%
Memory size26.5 KiB44.5 KiB

smoker
Boolean

 TenantsHomes
Distinct22
Distinct (%)< 0.1%< 0.1%
Missing113976
Missing (%)8.4%0.3%
Memory size26.5 KiB44.5 KiB
False
12190 
True
 
153
(Missing)
 
1139
False
21814 
True
 
837
(Missing)
 
76
ValueCountFrequency (%)
False 12190
90.4%
True 153
 
1.1%
(Missing) 1139
 
8.4%
ValueCountFrequency (%)
False 21814
96.0%
True 837
 
3.7%
(Missing) 76
 
0.3%

Tenants

2024-02-14T10:23:26.795707image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:26.824001image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

washing_machine
Boolean

 TenantsHomes
Distinct22
Distinct (%)< 0.1%< 0.1%
Missing67376
Missing (%)5.0%0.3%
Memory size26.5 KiB44.5 KiB
False
10832 
True
1977 
(Missing)
 
673
False
11746 
True
10905 
(Missing)
 
76
ValueCountFrequency (%)
False 10832
80.3%
True 1977
 
14.7%
(Missing) 673
 
5.0%
ValueCountFrequency (%)
False 11746
51.7%
True 10905
48.0%
(Missing) 76
 
0.3%

Tenants

2024-02-14T10:23:26.852791image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:26.881360image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

toilet
Unsupported

 TenantsHomes
Missing1348276
Missing (%)100.0%0.3%
Memory size26.5 KiB44.5 KiB

balcony
Boolean

 TenantsHomes
Distinct22
Distinct (%)< 0.1%< 0.1%
Missing67376
Missing (%)5.0%0.3%
Memory size26.5 KiB44.5 KiB
False
7419 
True
5390 
(Missing)
 
673
True
17597 
False
5054 
(Missing)
 
76
ValueCountFrequency (%)
False 7419
55.0%
True 5390
40.0%
(Missing) 673
 
5.0%
ValueCountFrequency (%)
True 17597
77.4%
False 5054
 
22.2%
(Missing) 76
 
0.3%

Tenants

2024-02-14T10:23:26.911494image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:26.940111image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

elevator
Unsupported

 TenantsHomes
Missing1348276
Missing (%)100.0%0.3%
Memory size26.5 KiB44.5 KiB

recycling
Boolean

 TenantsHomes
Distinct22
Distinct (%)< 0.1%< 0.1%
Missing67376
Missing (%)5.0%0.3%
Memory size26.5 KiB44.5 KiB
False
11972 
True
 
837
(Missing)
 
673
True
11882 
False
10769 
(Missing)
 
76
ValueCountFrequency (%)
False 11972
88.8%
True 837
 
6.2%
(Missing) 673
 
5.0%
ValueCountFrequency (%)
True 11882
52.3%
False 10769
47.4%
(Missing) 76
 
0.3%

Tenants

2024-02-14T10:23:26.970166image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:26.998014image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

tumble_dryer
Boolean

 TenantsHomes
Distinct22
Distinct (%)< 0.1%< 0.1%
Missing67376
Missing (%)5.0%0.3%
Memory size26.5 KiB44.5 KiB
False
12604 
True
 
205
(Missing)
 
673
False
17652 
True
4999 
(Missing)
 
76
ValueCountFrequency (%)
False 12604
93.5%
True 205
 
1.5%
(Missing) 673
 
5.0%
ValueCountFrequency (%)
False 17652
77.7%
True 4999
 
22.0%
(Missing) 76
 
0.3%

Tenants

2024-02-14T10:23:27.027311image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:27.055722image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

shared_washing_area
Unsupported

 TenantsHomes
Missing1348276
Missing (%)100.0%0.3%
Memory size26.5 KiB44.5 KiB

bathtub
Boolean

 TenantsHomes
Distinct22
Distinct (%)< 0.1%< 0.1%
Missing67376
Missing (%)5.0%0.3%
Memory size26.5 KiB44.5 KiB
False
12556 
True
 
253
(Missing)
 
673
False
19365 
True
3286 
(Missing)
 
76
ValueCountFrequency (%)
False 12556
93.1%
True 253
 
1.9%
(Missing) 673
 
5.0%
ValueCountFrequency (%)
False 19365
85.2%
True 3286
 
14.5%
(Missing) 76
 
0.3%

Tenants

2024-02-14T10:23:27.084403image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:27.112197image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

inhome_sauna
Boolean

 TenantsHomes
Distinct22
Distinct (%)< 0.1%< 0.1%
Missing67376
Missing (%)5.0%0.3%
Memory size26.5 KiB44.5 KiB
False
9360 
True
3449 
(Missing)
 
673
False
13544 
True
9107 
(Missing)
 
76
ValueCountFrequency (%)
False 9360
69.4%
True 3449
 
25.6%
(Missing) 673
 
5.0%
ValueCountFrequency (%)
False 13544
59.6%
True 9107
40.1%
(Missing) 76
 
0.3%

Tenants

2024-02-14T10:23:27.209228image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:27.238432image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

bike_room
Boolean

 TenantsHomes
Distinct22
Distinct (%)< 0.1%< 0.1%
Missing67376
Missing (%)5.0%0.3%
Memory size26.5 KiB44.5 KiB
False
11003 
True
1806 
(Missing)
 
673
True
17265 
False
5386 
(Missing)
 
76
ValueCountFrequency (%)
False 11003
81.6%
True 1806
 
13.4%
(Missing) 673
 
5.0%
ValueCountFrequency (%)
True 17265
76.0%
False 5386
 
23.7%
(Missing) 76
 
0.3%

Tenants

2024-02-14T10:23:27.268779image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:27.297395image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

parking
Boolean

 TenantsHomes
Distinct22
Distinct (%)< 0.1%< 0.1%
Missing67376
Missing (%)5.0%0.3%
Memory size26.5 KiB44.5 KiB
False
8300 
True
4509 
(Missing)
 
673
False
21681 
True
 
970
(Missing)
 
76
ValueCountFrequency (%)
False 8300
61.6%
True 4509
33.4%
(Missing) 673
 
5.0%
ValueCountFrequency (%)
False 21681
95.4%
True 970
 
4.3%
(Missing) 76
 
0.3%

Tenants

2024-02-14T10:23:27.326299image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:27.355503image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

storage
Boolean

 TenantsHomes
Distinct22
Distinct (%)< 0.1%< 0.1%
Missing67376
Missing (%)5.0%0.3%
Memory size26.5 KiB44.5 KiB
False
9112 
True
3697 
(Missing)
 
673
True
19032 
False
3619 
(Missing)
 
76
ValueCountFrequency (%)
False 9112
67.6%
True 3697
27.4%
(Missing) 673
 
5.0%
ValueCountFrequency (%)
True 19032
83.7%
False 3619
 
15.9%
(Missing) 76
 
0.3%

Tenants

2024-02-14T10:23:27.383672image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:27.412915image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

firsthand
Unsupported

 TenantsHomes
Missing134820
Missing (%)100.0%0.0%
Memory size26.5 KiB44.5 KiB

Interactions

Tenants

2024-02-14T10:23:23.194891image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:24.661506image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Tenants

2024-02-14T10:23:22.256122image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:23.880410image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Tenants

2024-02-14T10:23:22.595588image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:24.116799image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Tenants

2024-02-14T10:23:22.785459image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:24.302443image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Tenants

2024-02-14T10:23:22.981576image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:24.483934image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Tenants

2024-02-14T10:23:23.231964image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:24.700000image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Tenants

2024-02-14T10:23:22.321898image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:23.971908image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Tenants

2024-02-14T10:23:22.634661image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:24.161783image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Tenants

2024-02-14T10:23:22.825446image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:24.338897image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Tenants

2024-02-14T10:23:23.019904image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:24.520068image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Tenants

2024-02-14T10:23:23.267758image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:24.737977image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Tenants

2024-02-14T10:23:22.422300image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:24.005508image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Tenants

2024-02-14T10:23:22.672654image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:24.193194image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Tenants

2024-02-14T10:23:22.863843image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:24.374288image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Tenants

2024-02-14T10:23:23.057622image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:24.554295image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Tenants

2024-02-14T10:23:23.302942image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:24.775707image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Tenants

2024-02-14T10:23:22.508743image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:24.042674image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Tenants

2024-02-14T10:23:22.712290image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:24.229601image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Tenants

2024-02-14T10:23:22.904987image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:24.410202image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Tenants

2024-02-14T10:23:23.115766image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:24.590317image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Tenants

2024-02-14T10:23:23.339450image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:24.811141image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Tenants

2024-02-14T10:23:22.556707image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:24.079586image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Tenants

2024-02-14T10:23:22.749059image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:24.263592image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Tenants

2024-02-14T10:23:22.943466image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:24.446814image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Tenants

2024-02-14T10:23:23.156310image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Homes

2024-02-14T10:23:24.625795image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Missing values

Tenants

2024-02-14T10:23:23.468148image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
A simple visualization of nullity by column.

Homes

2024-02-14T10:23:24.950066image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
A simple visualization of nullity by column.

Tenants

2024-02-14T10:23:23.630652image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Homes

2024-02-14T10:23:25.122678image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Tenants

rentroom_countsquare_meterstenant_countstart_optimalend_optimalstart_asapend_ufnideal_durationsharedstudent_homesenior_homecorporate_homedish_washerfurniturewheelchair_accessibleinternetpetsshowersmokerwashing_machinetoiletbalconyelevatorrecyclingtumble_dryershared_washing_areabathtubinhome_saunabike_roomparkingstoragefirsthand
0750.01.018.01.02023-04-01NaTFalseTrueNaN<NA>FalseFalse<NA>FalseTrueFalse<NA>False<NA>FalseTrue<NA>False<NA>FalseFalse<NA>FalseFalseFalseFalseFalse<NA>
1800.03.060.03.02023-03-01NaTFalseTrueNaNFalseFalseFalse<NA>True<NA>False<NA>True<NA>FalseFalse<NA>True<NA>FalseFalse<NA>FalseTrueFalseFalseFalse<NA>
2750.02.050.02.0NaTNaTTrueTrueNaNFalseFalseFalse<NA>FalseFalseFalse<NA>True<NA>FalseFalse<NA>True<NA>FalseFalse<NA>FalseTrueFalseTrueFalse<NA>
3850.03.068.03.02023-08-01NaTFalseTrueNaNFalseFalseFalse<NA>FalseFalseFalse<NA>True<NA>FalseFalse<NA>True<NA>FalseFalse<NA>FalseFalseFalseTrueFalse<NA>
4600.02.032.01.02023-11-01NaTFalseTrueNaNFalseTrueFalse<NA>TrueFalseFalse<NA>True<NA>FalseFalse<NA>False<NA>FalseFalse<NA>FalseFalseFalseTrueFalse<NA>
5600.02.045.02.0NaTNaTTrueTrueNaNFalseFalseFalse<NA>TrueFalseFalse<NA>False<NA>FalseFalse<NA>True<NA>FalseFalse<NA>FalseFalseFalseTrueFalse<NA>
6750.01.032.01.0NaTNaTTrueTrueNaNFalseTrueFalse<NA>TrueFalseFalse<NA>True<NA>FalseFalse<NA>True<NA>FalseFalse<NA>FalseTrueFalseTrueTrue<NA>
7600.01.035.01.02023-12-01NaTFalseTrueNaN<NA>FalseFalse<NA>False<NA>False<NA>False<NA>FalseFalse<NA>False<NA>FalseFalse<NA>FalseFalseFalseFalseTrue<NA>
8900.03.099.01.0NaTNaTTrueTrueNaNFalseFalseFalse<NA>FalseFalseFalse<NA>True<NA>FalseFalse<NA>True<NA>FalseFalse<NA>FalseTrueFalseTrueFalse<NA>
9650.02.040.02.0NaTNaTTrueTrueNaNFalseFalseFalse<NA>TrueFalseFalse<NA>True<NA>FalseFalse<NA>True<NA>FalseFalse<NA>FalseFalseFalseFalseFalse<NA>

Homes

rentroom_countsquare_meterstenant_countstart_optimalend_optimalstart_asapend_ufnideal_durationsharedstudent_homesenior_homecorporate_homedish_washerfurniturewheelchair_accessibleinternetpetsshowersmokerwashing_machinetoiletbalconyelevatorrecyclingtumble_dryershared_washing_areabathtubinhome_saunabike_roomparkingstoragefirsthand
09504.0995NaTNaTTrueTrueNaNFalseFalseFalseFalseFalseFalseTrueTrueTrueTrueFalseTrueTrueTrueFalseFalseTrueTrueTrueFalseFalseTrueTrueFalse
15502.0692NaTNaTTrueTrueNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseTrueTrueTrueFalseFalseFalseFalseFalseTrueFalseTrueFalse
24202.0555NaTNaTTrueTrueNaNFalseFalseFalseFalseTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueTrueFalseTrueTrueTrueFalseTrueFalseTrueFalse
36903.0774NaTNaTTrueTrueNaNFalseFalseFalseFalseTrueFalseFalseTrueFalseTrueFalseTrueTrueTrueFalseTrueTrueTrueFalseFalseTrueFalseTrueFalse
45002.06222023-12-012024-12-01FalseFalse366.0FalseFalseFalseFalseTrueFalseFalseTrueTrueTrueFalseFalseTrueTrueFalseFalseFalseTrueTrueTrueTrueFalseTrueFalse
58003.07132024-02-01NaTFalseTrueNaNFalseFalseFalseFalseTrueFalseFalseFalseTrueTrueFalseFalseTrueTrueTrueFalseFalseFalseFalseFalseTrueFalseTrueFalse
67002.0382NaTNaTTrueTrueNaNFalseFalseFalseFalseTrueFalseTrueTrueFalseTrueFalseFalseTrueTrueTrueFalseFalseFalseFalseFalseFalseFalseTrueFalse
78003.07942023-11-01NaTFalseTrueNaNFalseFalseFalseFalseTrueTrueFalseTrueFalseTrueFalseTrueTrueTrueTrueFalseFalseTrueTrueFalseTrueFalseTrueFalse
84352.0612NaTNaTTrueTrueNaNFalseFalseFalseFalseTrueTrueFalseTrueFalseTrueFalseTrueTrueTrueFalseTrueTrueFalseFalseTrueFalseFalseTrueFalse
94501.02112024-03-012025-02-28FalseFalse364.0FalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseTrueFalseTrueFalse

Tenants

rentroom_countsquare_meterstenant_countstart_optimalend_optimalstart_asapend_ufnideal_durationsharedstudent_homesenior_homecorporate_homedish_washerfurniturewheelchair_accessibleinternetpetsshowersmokerwashing_machinetoiletbalconyelevatorrecyclingtumble_dryershared_washing_areabathtubinhome_saunabike_roomparkingstoragefirsthand
13472600.02.040.01.0NaTNaTTrueTrueNaNFalseTrueFalse<NA>TrueFalseFalse<NA>False<NA>FalseFalse<NA>False<NA>FalseFalse<NA>FalseFalseTrueFalseTrue<NA>
13473800.02.050.02.02024-04-01NaTFalseTrueNaNFalseTrueFalse<NA>TrueFalseFalse<NA>False<NA>FalseFalse<NA>True<NA>FalseFalse<NA>FalseTrueTrueTrueTrue<NA>
13474460.01.028.01.0NaTNaTTrueTrueNaNFalseFalseTrue<NA>False<NA>False<NA>False<NA>FalseFalse<NA>False<NA>FalseFalse<NA>FalseFalseFalseFalseFalse<NA>
134751100.05.0100.07.0NaTNaTTrueTrueNaNFalseFalseFalse<NA>FalseFalseFalse<NA>False<NA>FalseFalse<NA>True<NA>FalseFalse<NA>FalseFalseFalseTrueTrue<NA>
13476550.01.025.01.0NaT2024-04-01TrueFalseNaN<NA>FalseTrue<NA>False<NA>False<NA>False<NA>FalseFalse<NA>False<NA>FalseFalse<NA>FalseFalseFalseFalseFalse<NA>
13477700.02.040.01.0NaTNaTTrueTrueNaNFalseFalseFalse<NA>FalseFalseFalse<NA>True<NA>FalseFalse<NA>True<NA>FalseFalse<NA>FalseFalseFalseTrueFalse<NA>
13478650.01.038.01.02024-05-01NaTFalseTrueNaNFalseFalseFalse<NA>False<NA>False<NA>True<NA>FalseFalse<NA>False<NA>FalseFalse<NA>FalseFalseFalseTrueTrue<NA>
13479500.01.025.01.0NaTNaTTrueTrueNaN<NA>FalseFalse<NA>FalseFalseTrue<NA>False<NA>FalseFalse<NA>False<NA>FalseFalse<NA>FalseFalseFalseFalseFalse<NA>
13480950.02.050.01.02024-04-01NaTFalseTrueNaNFalseFalseFalse<NA>TrueFalse<NA><NA><NA><NA><NA>False<NA>True<NA>FalseFalse<NA>FalseFalseTrueTrueTrue<NA>
13481400.01.012.01.0NaTNaTTrueTrueNaN<NA>TrueFalse<NA>False<NA>False<NA>False<NA>FalseFalse<NA>False<NA>FalseFalse<NA>FalseFalseFalseFalseFalse<NA>

Homes

rentroom_countsquare_meterstenant_countstart_optimalend_optimalstart_asapend_ufnideal_durationsharedstudent_homesenior_homecorporate_homedish_washerfurniturewheelchair_accessibleinternetpetsshowersmokerwashing_machinetoiletbalconyelevatorrecyclingtumble_dryershared_washing_areabathtubinhome_saunabike_roomparkingstoragefirsthand
227174201.03212024-03-01NaTFalseTrueNaNFalseFalseFalseFalse<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>False
227182001.0101NaTNaTTrueTrueNaNTrueFalseFalseFalse<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>False
2271918004.010552024-01-15NaTFalseTrueNaNFalseFalseFalseFalse<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>False
227205801.02712024-02-01NaTFalseTrueNaNFalseFalseFalseFalse<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>False
227218504.01305NaTNaTTrueTrueNaNFalseFalseFalseFalse<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>False
227225503.07242024-02-15NaTFalseTrueNaNFalseFalseFalseFalse<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>False
227235601.03012024-02-01NaTFalseTrueNaNFalseFalseFalseFalse<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>False
227244802.0513NaTNaTTrueTrueNaNFalseFalseFalseFalse<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>False
227255251.0191NaTNaTTrueTrueNaNFalseFalseFalseFalse<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>False
227265302.0462NaTNaTTrueTrueNaNFalseFalseFalseFalse<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>False

Duplicate rows

Tenants

rentroom_countsquare_meterstenant_countstart_optimalend_optimalstart_asapend_ufnideal_durationsharedstudent_homesenior_homedish_washerfurniturewheelchair_accessiblepetssmokerwashing_machinebalconyrecyclingtumble_dryerbathtubinhome_saunabike_roomparkingstorage# duplicates
76600.01.020.01.0NaTNaTTrueTrueNaNFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalse7
16500.01.020.01.0NaTNaTTrueTrueNaNFalseFalseFalseFalse<NA>FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalse6
72600.01.020.01.0NaTNaTTrueTrueNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalse6
80600.01.020.01.0NaTNaTTrueTrueNaN<NA>FalseFalseFalse<NA>FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalse6
41550.01.020.01.0NaTNaTTrueTrueNaNFalseTrueFalseFalse<NA>FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalse5
50550.01.025.01.0NaTNaTTrueTrueNaNFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalse5
55550.01.030.01.0NaTNaTTrueTrueNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalse5
93600.01.025.01.0NaTNaTTrueTrueNaNFalseTrueFalseFalse<NA>FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalse5
115600.01.030.01.0NaTNaTTrueTrueNaNFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalse5
128600.02.040.01.0NaTNaTTrueTrueNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalse5

Homes

rentroom_countsquare_meterstenant_countstart_optimalend_optimalstart_asapend_ufnideal_durationsharedstudent_homesenior_homedish_washerfurniturewheelchair_accessiblepetssmokerwashing_machinebalconyrecyclingtumble_dryerbathtubinhome_saunabike_roomparkingstorage# duplicates
1847302.0851NaTNaTTrueTrueNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrue6
133502.0453NaTNaTTrueTrueNaNFalseFalseFalseFalseFalseTrueTrueFalseFalseFalseFalseFalseFalseTrueFalseTrueTrue4
474502.01004NaTNaTTrueTrueNaNFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseTrue4
725002.0753NaTNaTTrueTrueNaNFalseFalseFalseTrueFalseFalseTrueFalseFalseFalseFalseFalseFalseTrueFalseFalseTrue4
1456403.0764NaTNaTTrueTrueNaNFalseFalseFalseTrueFalseFalseFalseFalseFalseTrueTrueFalseFalseTrueTrueFalseTrue4
103501.0291NaTNaTTrueTrueNaNFalseFalseFalseFalseFalseFalseTrueFalseFalseTrueFalseFalseFalseFalseTrueFalseTrue3
143504.01002NaTNaTTrueTrueNaNTrueFalseFalseTrueTrueFalseFalseFalseTrueTrueTrueTrueFalseTrueFalseFalseFalse3
213802.0582NaTNaTTrueTrueNaNFalseFalseFalseFalseFalseTrueTrueFalseFalseFalseFalseFalseFalseFalseTrueFalseFalse3
574802.0552NaTNaTTrueTrueNaNFalseFalseFalseTrueTrueTrueFalseFalseTrueTrueFalseFalseFalseFalseFalseFalseFalse3
664991.0252NaTNaTTrueTrueNaNFalseFalseFalseTrueFalseTrueTrueFalseTrueTrueTrueTrueFalseFalseTrueFalseTrue3